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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Application of a hybrid deep learning approach with attention mechanism for evapotranspiration prediction: a case study from the Mount Tai region, China
Shichao Wang, Xiaoge Yu, Yan Li, et al.
Earth Science Informatics (2023) Vol. 16, Iss. 4, pp. 3469-3487
Closed Access | Times Cited: 10

Showing 10 citing articles:

Adaptive Hybrid Potential Evapotranspiration (Pet) Prediction Method Based on Automatic Machine Learning
宸嘉 张, Tianxin Xu, Yan Zhang, et al.
(2025)
Open Access
Empirical mode decomposition feature based Bi-LSTM and GRU neural network predictions of thermospheric density during rising and minimum solar activity from 2018 to 2022
Patapong Panpiboon, K. Noysena, Thana Yeeram
Earth Science Informatics (2025) Vol. 18, Iss. 2
Closed Access
Physics-informed neural networks for enhanced reference evapotranspiration estimation in Morocco: Balancing semi-physical models and deep learning
Chouaib El Hachimi, Salwa Belaqziz, Saïd Khabba, et al.
Chemosphere (2025) Vol. 374, pp. 144238-144238
Closed Access
Integrated Seasonal-Trend Decomposition Using Loess for Multi-Head Self-Attention Mechanism and Bidirectional Long Short-Term Memory Based Reference Evapotranspiration Prediction
Zehai Gao, Zijun Gao, Xiaojun Zhang, et al.
(2025)
Closed Access
A gap filling method for daily evapotranspiration of global flux data sets based on deep learning
Long Qian, Lifeng Wu, Zhitao Zhang, et al.
Journal of Hydrology (2024) Vol. 641, pp. 131787-131787
Closed Access | Times Cited: 2
Future Reference Evapotranspiration Trends in Shandong Province, China: Based on SAO-CNN-BiGRU-Attention and CMIP6
Yudong Wang, Guibin Pang, Tianyu Wang, et al.
Agriculture (2024) Vol. 14, Iss. 9, pp. 1556-1556
Open Access | Times Cited: 1
Adaptive Hybrid Potential Evapotranspiration (Pet) Prediction Method Based on Automatic Machine Learning
宸嘉 张, Tianxin Xu, Yan Zhang, et al.
(2024)
Closed Access
Application of wavelet-based multivariate long short-term memory models in prediction of stage for Teesta River, India
Swarnadeepa Chakraborty, Sujata Biswas
Journal of Hydroinformatics (2024) Vol. 26, Iss. 8, pp. 2007-2025
Closed Access
A Hybrid Surrogate Deep Learning Model for Actual Evapotranspiration Prediction
Amir Aieb, Alexander Jacob, Antonio Liotta, et al.
(2024), pp. 60-67
Closed Access
Adaptive hybrid potential evapotranspiration (PET) prediction method based on automatic machine learning
Zhang Chenjia, Xu Tianxin, Yan Zhang, et al.
Research Square (Research Square) (2024)
Closed Access
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